Share data treatment and analysis processes inTechnology enhanced learning

Abstract : In the context of our research team (multidisciplinary with numerous and various TEL systems), we have been working during the last three years on the design and implementation of an open platform to collect, save and share experimental data drawn from the interaction with TEL systems, which could build, save and share analysis processes executed on these data. From our point of view both data and analysis processes are worth to be stored and shared, and moreover have to be joined in a unique repository to get the whole picture. This communication presents the analysis processes part of the project. Sharing analysis processes, i.e. the whole complex process, is rather unusual, whereas contemporary platforms or software already propose generic algorithms to work on data (for instance with a statistical point of view or a data mining point of view). Hence, we attempt to model the main concepts of global treatments for experimental data analysis in order to collect, execute, save and then share them in a platform, dedicated to TEL Systems. The execution part is the most difficult and constraining part of our work. This needs to be implemented with a complex architecture. An important part of the communication is so devoted to the description of the architecture, and to the link between the global point of view of the whole process and the local point of view of elementary or specific algorithms used during the process. A short, but realistic, example of application of our platform is given, with the definition of a global process and the definition of an elementary algorithm used in the global process. The process is executed on real data leading to a graphical display of results, which are then briefly analyzed.
Type de document :
Communication dans un congrès
Workshop Data Analysis and Interpretation for Learning Environments, 2013, Autrans, France. 2013
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00948796
Contributeur : Denis Bouhineau <>
Soumis le : dimanche 16 mars 2014 - 11:53:12
Dernière modification le : jeudi 11 janvier 2018 - 06:26:35
Document(s) archivé(s) le : lundi 16 juin 2014 - 10:51:50

Fichier

onAnalysisProcess_BouhineauEtA...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00948796, version 1

Collections

Citation

Denis Bouhineau, Sébastien Lalle, Vanda Luengo, Nadine Mandran, Michael Ortega, et al.. Share data treatment and analysis processes inTechnology enhanced learning. Workshop Data Analysis and Interpretation for Learning Environments, 2013, Autrans, France. 2013. 〈hal-00948796〉

Partager

Métriques

Consultations de la notice

672

Téléchargements de fichiers

152